One thing these models gave going for them is they won’t come at the problem with preconceived notions. A sensor that’s off by some constant factor is feeding

One thing these models gave going for them is they won’t come at the problem with preconceived notions. A sensor that’s off by some constant factor is feeding bad data to a physics model and resulting are deemed incorrect if they don’t match the future value of that sensor. AI on the other hand could self correct for such issues because the data doesn’t mean anything only the patterns. I can only assume current models include everything even tangentially relevant from albedo to topology and ocean currents. But that doesn’t mean they include everything relevant just everything people consider relevant.